“More data more better” is pretty much the rule when it comes to statistics, so I try to update the “graphics matter” series every year or so as my various sources update their data sets. I missed a year somewhere in there, but I am happy to bring you the new, improved, examination of whether or not the hypothesis of “more guns = more ‘gun deaths'” holds true.
The results… will not surprise regular readers.
That is the chart, but what about the actual numbers?
The two pertinent rates – the number of firearms per capita versus the number of firearm-related fatalities per capita – correlate with a coefficient of -0.79744, indicating a strong, negative correlation between the two sets of data.
If you look at the raw numbers – the number of firearms, period, versus the number of firearm-related fatalities, or “gun deaths” – they correlate with a coefficient of -0.27315, which remains a negative correlation.
As always, correlation does not necessarily indicate, or even come close to proving, causality; but I am also not trying to prove causality. However, the notion of “more guns = more ‘gun deaths'” does try to claim causality, when there is absolutely no positive correlation to support such a causal link.
Therefore, the hypothesis of “more guns = more ‘gun deaths'” still cannot be true.
(The previous version of this, along with a great deal more explanation, is available here. The Excel spreadsheet from which I built the above graphic is available here. My sources are the CDC’s WISQARS Fatal Injury Reports, the Small Arms Survey of 2003, the BATFE’s Firearms Commerce in the United States, the Shooting Industry News, and Radical Gun Nuttery.)
graphical representation 
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